Quantitative Trader
: Job Details :


Quantitative Trader

Anson McCade Pty

Job Location : New York,NY, USA

Posted on : 2025-08-05T01:20:57Z

Job Description :

1 month ago Be among the first 25 applicants

This range is provided by Anson McCade. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $200,000.00/yr

Direct message the job poster from Anson McCade

Principal Headhunter - Quantitative Strategies at Anson McCade

Senior High Frequency Futures Quantitative Trader (New York/ London)

Company Overview

Our client is a leading proprietary trading firm specializing in high-frequency, cross-asset futures trading. Leveraging cutting-edge technology and a world-class infrastructure, they are expanding their trading capabilities and are looking for a seasoned quantitative trader to help develop and scale new algorithmic trading strategies in the futures space.

Role Overview

This is a high-impact role for an experienced quant trader with a proven track record in developing and deploying high-frequency systematic strategies. You will play a key role in the full lifecycle of strategy development, from idea generation to execution and optimization, supported by a strong team of developers and engineers.

Key Responsibilities

  • Research, design, and implement high-frequency systematic trading strategies for futures markets
  • Collaborate closely with software engineers to build, refine, and optimize trading infrastructure
  • Identify and test new sources of alpha using proprietary and public datasets
  • Analyze tick-level data to uncover inefficiencies and market patterns
  • Develop tools for performance monitoring, data visualization, and signal analysis
  • Continuously improve risk management, execution logic, and overall strategy performance

Required Experience & Skills

  • Minimum 5 years of experience in high-frequency trading with a focus on futures
  • MSc or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Physics, or Engineering) from a top-tier institution
  • Demonstrated success in independently developing and managing profitable trading strategies
  • Deep understanding of statistical models, signal generation, and quantitative analysis
  • Strong coding skills in Python and/or C++; experience working with large tick-level datasets
  • Hands-on experience with back-testing frameworks, simulation environments, and production deployment
  • Creative thinker with a passion for solving complex problems and uncovering new trading opportunities

Why Join?

  • Access to cutting-edge proprietary technology and low-latency infrastructure
  • High level of autonomy and ownership over strategy development
  • Supportive, collaborative environment with highly experienced peers
  • Competitive compensation and performance-based incentives
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionFinance

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